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ORCIDYaroslav D. Sergeyev
- > Home > Persons > Yaroslav D. Sergeyev
Publications
- 2023
[j83]Alberto Falcone
, Alfredo Garro, Marat S. Mukhametzhanov, Yaroslav D. Sergeyev:
Advantages of the usage of the Infinity Computer for reducing the Zeno behavior in hybrid system models. Soft Comput. 27(12): 8189-8208 (2023)- 2022
- [j82]Alberto Falcone, Alfredo Garro, Marat S. Mukhametzhanov, Yaroslav D. Sergeyev:
Simulation of hybrid systems under Zeno behavior using numerical infinitesimals. Commun. Nonlinear Sci. Numer. Simul. 111: 106443 (2022) - [j80]Yaroslav D. Sergeyev, Dmitri E. Kvasov, Marat S. Mukhametzhanov:
A Generator of Multiextremal Test Classes With Known Solutions for Black-Box-Constrained Global Optimization. IEEE Trans. Evol. Comput. 26(6): 1261-1270 (2022) - 2021
- [j78]Alberto Falcone, Alfredo Garro, Marat S. Mukhametzhanov, Yaroslav D. Sergeyev:
A Simulink-based software solution using the Infinity Computer methodology for higher order differentiation. Appl. Math. Comput. 409: 125606 (2021) - [j76]Yaroslav D. Sergeyev, Maria Chiara Nasso, Marat S. Mukhametzhanov, Dmitri E. Kvasov:
Novel local tuning techniques for speeding up one-dimensional algorithms in expensive global optimization using Lipschitz derivatives. J. Comput. Appl. Math. 383: 113134 (2021) - [j75]Felice Iavernaro, Francesca Mazzia, Marat S. Mukhametzhanov, Yaroslav D. Sergeyev:
Computation of higher order Lie derivatives on the Infinity Computer. J. Comput. Appl. Math. 383: 113135 (2021) - [j72]Roberto Cavoretto, Alessandra De Rossi, Marat S. Mukhametzhanov, Yaroslav D. Sergeyev:
On the search of the shape parameter in radial basis functions using univariate global optimization methods. J. Glob. Optim. 79(2): 305-327 (2021) - 2020
- [j65]Alberto Falcone, Alfredo Garro, Marat S. Mukhametzhanov, Yaroslav D. Sergeyev:
Representation of grossone-based arithmetic in simulink for scientific computing. Soft Comput. 24(23): 17525-17539 (2020) - 2019
- [c12]Alberto Falcone, Alfredo Garro, Marat S. Mukhametzhanov, Yaroslav D. Sergeyev:
A Simulink-Based Infinity Computer Simulator and Some Applications. NUMTA (2) 2019: 362-369 - [c11]Dmitri E. Kvasov, Marat S. Mukhametzhanov, Maria Chiara Nasso, Yaroslav D. Sergeyev:
On Acceleration of Derivative-Free Univariate Lipschitz Global Optimization Methods. NUMTA (2) 2019: 413-421 - 2018
- [j60]Yaroslav D. Sergeyev, Dmitri E. Kvasov, Marat S. Mukhametzhanov:
On strong homogeneity of a class of global optimization algorithms working with infinite and infinitesimal scales. Commun. Nonlinear Sci. Numer. Simul. 59: 319-330 (2018) - [i21]Yaroslav D. Sergeyev, Dmitri E. Kvasov, Marat S. Mukhametzhanov:
On strong homogeneity of a class of global optimization algorithms working with infinite and infinitesimal scales. CoRR abs/1801.05306 (2018) - 2017
- [j55]Pierluigi Amodio, Felice Iavernaro, Francesca Mazzia, Marat S. Mukhametzhanov, Yaroslav D. Sergeyev:
A generalized Taylor method of order three for the solution of initial value problems in standard and infinity floating-point arithmetic. Math. Comput. Simul. 141: 24-39 (2017) - [j54]Yaroslav D. Sergeyev, Dmitri E. Kvasov, Marat S. Mukhametzhanov:
Operational zones for comparing metaheuristic and deterministic one-dimensional global optimization algorithms. Math. Comput. Simul. 141: 96-109 (2017) - [c9]Yaroslav D. Sergeyev, Dmitri E. Kvasov, Marat S. Mukhametzhanov:
Emmental-Type GKLS-Based Multiextremal Smooth Test Problems with Non-linear Constraints. LION 2017: 383-388 - 2016
- [j52]Yaroslav D. Sergeyev, Marat S. Mukhametzhanov, Francesca Mazzia, Felice Iavernaro, Pierluigi Amodio:
Numerical Methods for Solving Initial Value Problems on the Infinity Computer. Int. J. Unconv. Comput. 12(1): 3-23 (2016) - [j51]Yaroslav D. Sergeyev, Marat S. Mukhametzhanov, Dmitri E. Kvasov, Daniela Lera:
Derivative-Free Local Tuning and Local Improvement Techniques Embedded in the Univariate Global Optimization. J. Optim. Theory Appl. 171(1): 186-208 (2016) - [p1]Yaroslav D. Sergeyev, Dmitri E. Kvasov, Marat S. Mukhametzhanov:
On the Least-Squares Fitting of Data by Sinusoids. Advances in Stochastic and Deterministic Global Optimization 2016: 209-226
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